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Run
175954

Run 175954

Task 1765 (Supervised Classification) anneal Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9816
Per class
F measure
0.9764
Per class
Kappa
0.943
KB relative information score
4044.4287
Mean absolute error
0.0099
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9763
Per class
Predictive accuracy
0.9773
Prior entropy
1.2149
Recall
0.9773
Per class
Relative absolute error
0.0737
Root mean prior squared error
0.2582
Root mean squared error
0.0844
Root relative squared error
0.327
SciMark benchmark
1341.2341
UserCPU time millis
20
UserCPU time millis training
20